plot.mvregmed.grid

Plot penalty parameter lambda versus BIC for model fits

model

Mediation analysis for multiple mediators by penalized structural equation models with different types of penalties depending on whether there are multiple mediators and only one exposure and one outcome variable (using sparse group lasso) or multiple exposures, multiple mediators, and multiple outcome variables (using lasso, L1, penalties).

Jason Sinnwell

regmed

Regularized Mediation Analysis

Daniel Schaid

plot.mvregmed.grid function

<dl> <dt>x</dt>
<dd>An object created by mvregmed.grid</dd> <dt>xlab</dt>
<dd>x axis label, by default set to 'lambda'</dd> <dt>ylab</dt>
<dd>y axis label, by default set to 'BIC' for this plot</dd> <dt>pch</dt>
<dd>plot character, by default set to a star (*)</dd> <dt>...</dt>
<dd>optional plot arguments</dd></dl>

Arguments

Author

Plot penalty parameter lambda versus BIC for model fits — plot.mvregmed.grid

<dl>

 <dt>x</dt>
<dd>An object created by mvregmed.grid</dd>

 <dt>xlab</dt>
<dd>x axis label, by default set to 'lambda'</dd>

 <dt>ylab</dt>
<dd>y axis label, by default set to 'BIC' for this plot</dd>

 <dt>pch</dt>
<dd>plot character, by default set to a star (*)</dd>

 <dt>...</dt>
<dd>optional plot arguments</dd>

</dl>

plot.mvregmed.grid: Plot penalty parameter lambda versus BIC for model fits

Description

Usage

Arguments

Author

References